• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新型蓝激光成像分类在受训内镜医师结直肠息肉光学诊断中的应用。

Optical diagnosis of colorectal polyps using novel blue light imaging classification among trainee endoscopists.

机构信息

Division of Gastroenterology, Hepatology and Motility, University of Kansas School of Medicine, Kansas City, KS, USA.

Division of Gastroenterology and Hepatology, Indiana University Medical Center, Indianapolis, IN, USA.

出版信息

Dig Endosc. 2022 Jan;34(1):191-197. doi: 10.1111/den.14050. Epub 2021 Jun 18.

DOI:10.1111/den.14050
PMID:34053136
Abstract

BACKGROUND

Blue light imaging (BLI) has been shown to improve the characterization of colorectal polyps among the endoscopy experts. We aimed to determine if this technology could be taught to endoscopy trainees while maintaining high accuracy and interobserver agreement.

METHODS

Twenty-one gastroenterology trainees (fellows) from two academic institutions participated in this prospective study. Each trainee completed a web-based learning comprising four modules: pre-test, didactic videos explaining the BLI Adenoma Serrated International Classification (BASIC), interactive examples, and post-test assessment. The pre- and post-test modules consisted of reviewing video images of colon polyps in high definition white light imaging and BLI and then applying the BASIC classification to determine if the polyps were likely to be adenomatous. Confidence in adenoma identification (rated '1' to '5'), accuracy in polyp (adenoma vs. non-adenoma) identification, and agreement in characterization per BASIC criteria were derived.

RESULTS

Trainee accuracy in the adenoma diagnosis improved from 74.7% (pre-test) to 85.4% (post-test) (P < 0.01). There was a trend towards higher accuracy in polyp characterization with subsequent years of training (1st year fellows 77.4%, 2nd year 88.5%, and final year 94.0%) with consistent improvements after the e-learning across years of trainees. Overall, trainees were able to identify adenoma with a high sensitivity of 86.9%, specificity 83.9%, positive predictive value of 84.4%, and negative predictive value of 86.5%. However, their interobserver agreement in adenoma diagnosis was moderate (k = 0.52).

CONCLUSION

The novel BLI classification can be easily taught to gastroenterology trainees using an online module and accuracy improves with years of training reaching >90% for colorectal polyp characterization.

摘要

背景

蓝光成像(BLI)已被证明可以提高内镜专家对结直肠息肉的特征描述能力。我们旨在确定是否可以将这项技术教授给内镜培训生,同时保持高准确性和观察者间一致性。

方法

来自两个学术机构的 21 名消化科培训生(研究员)参与了这项前瞻性研究。每个培训生都完成了一个基于网络的学习,包括四个模块:前测、解释 BLI 腺瘤锯齿状国际分类(BASIC)的教学视频、互动示例和后测评估。前测和后测模块包括查看高清白光成像和 BLI 下结肠息肉的视频图像,然后应用 BASIC 分类来确定息肉是否可能为腺瘤。得出腺瘤识别的置信度(评为 1 到 5)、息肉(腺瘤与非腺瘤)识别的准确性以及根据 BASIC 标准的特征描述一致性。

结果

培训生在腺瘤诊断中的准确性从 74.7%(前测)提高到 85.4%(后测)(P<0.01)。随着培训年限的增加,息肉特征描述的准确性呈上升趋势(第 1 年研究员为 77.4%,第 2 年为 88.5%,最后一年为 94.0%),并且培训生的年际间的学习效果一致。总的来说,培训生能够以 86.9%的高灵敏度、83.9%的特异性、84.4%的阳性预测值和 86.5%的阴性预测值识别腺瘤。然而,他们在腺瘤诊断方面的观察者间一致性为中等(k=0.52)。

结论

使用在线模块,可轻松向消化科培训生教授新型 BLI 分类,且准确性随培训年限的增加而提高,对结直肠息肉的特征描述准确率达到>90%。

相似文献

1
Optical diagnosis of colorectal polyps using novel blue light imaging classification among trainee endoscopists.新型蓝激光成像分类在受训内镜医师结直肠息肉光学诊断中的应用。
Dig Endosc. 2022 Jan;34(1):191-197. doi: 10.1111/den.14050. Epub 2021 Jun 18.
2
External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts.经内镜专家验证的用于光学特征描述的结直肠息肉蓝光成像(BLI)标准的外部验证。
J Gastroenterol Hepatol. 2021 Oct;36(10):2728-2734. doi: 10.1111/jgh.15529. Epub 2021 May 6.
3
BASIC (BLI Adenoma Serrated International Classification) classification for colorectal polyp characterization with blue light imaging.基于蓝光成像的结直肠息肉特征的 BASIC(BLI 锯齿状腺瘤国际分类)分类。
Endoscopy. 2018 Mar;50(3):211-220. doi: 10.1055/s-0043-121570. Epub 2017 Oct 24.
4
Optical diagnosis of colorectal polyps with Blue Light Imaging using a new international classification.应用新国际分类法的蓝激光成像在结直肠息肉光学诊断中的应用。
United European Gastroenterol J. 2019 Mar;7(2):316-325. doi: 10.1177/2050640618822402. Epub 2019 Jan 6.
5
Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis.使用新开发的计算机辅助诊断系统 (CADx) 对结直肠息肉图像进行光学诊断,与直观光学诊断进行比较。
Endoscopy. 2021 Dec;53(12):1219-1226. doi: 10.1055/a-1343-1597. Epub 2021 Mar 10.
6
Narrow-band Imaging International Colorectal Endoscopic Classification to predict polyp histology: REDEFINE study (with videos).窄带成像国际结直肠内镜分类预测息肉组织学:REDEFINE 研究(附视频)。
Gastrointest Endosc. 2016 Sep;84(3):479-486.e3. doi: 10.1016/j.gie.2016.02.020. Epub 2016 Feb 27.
7
Didactic training vs. computer-based self-learning in the prediction of diminutive colon polyp histology by trainees: a randomized controlled study.教学培训与基于计算机的自学在预测受训者小结肠息肉组织学中的比较:一项随机对照研究。
Endoscopy. 2017 Dec;49(12):1243-1250. doi: 10.1055/s-0043-116015. Epub 2017 Aug 14.
8
Gastroenterology trainees can easily learn histologic characterization of diminutive colorectal polyps with narrow band imaging.消化内科受训医师可通过窄带成像轻松学会微小结直肠息肉的组织学特征描述。
Clin Gastroenterol Hepatol. 2013 Aug;11(8):997-1003.e1. doi: 10.1016/j.cgh.2013.02.020. Epub 2013 Mar 1.
9
Blue-light imaging compared with high-definition white light for real-time histology prediction of colorectal polyps less than 1 centimeter: a prospective randomized study.蓝激光成像与高清白光用于实时预测直径小于 1 厘米结直肠息肉组织学类型的前瞻性随机研究
Gastrointest Endosc. 2019 Mar;89(3):554-564.e1. doi: 10.1016/j.gie.2018.09.027. Epub 2018 Sep 28.
10
Narrow band imaging optical diagnosis of small colorectal polyps in routine clinical practice: the Detect Inspect Characterise Resect and Discard 2 (DISCARD 2) study.常规临床实践中小肠结肠息肉的窄带成像光学诊断:检测、检查、表征、切除与丢弃2(DISCARD 2)研究
Gut. 2017 May;66(5):887-895. doi: 10.1136/gutjnl-2015-310584. Epub 2016 Apr 19.

引用本文的文献

1
Artificial intelligence for characterization of colorectal polyps: Prospective multicenter study.用于结直肠息肉特征描述的人工智能:前瞻性多中心研究。
Endosc Int Open. 2024 Mar 18;12(3):E413-E418. doi: 10.1055/a-2261-2711. eCollection 2024 Mar.
2
Image enhanced colonoscopy: updates and prospects-a review.图像增强结肠镜检查:最新进展与前景——综述
Transl Gastroenterol Hepatol. 2023 Jul 25;8:26. doi: 10.21037/tgh-23-17. eCollection 2023.
3
Mucosal imaging in colon polyps: New advances and what the future may hold.结肠息肉的黏膜成像:新进展和未来可能的发展方向。
World J Gastroenterol. 2022 Dec 21;28(47):6632-6661. doi: 10.3748/wjg.v28.i47.6632.